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Software Engineering

Enhancing Service Selection by Semantic QoS

Profile image of Luis Rodero MerinoLuis Rodero Merino

2009

https://doi.org/10.1007/978-3-642-02121-3_42
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13 pages

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Abstract

The increasing number of functionally similar services requires the existence of a non-functional properties selection process based on the Quality of Service (QoS). Thus, in this article, authors focus on the provision of a QoS model, an architecture and an implementation which enhance the selection process by the annotation of Service Level Agreement (SLA) templates with semantic QoS metrics. This QoS model is composed by a specification for annotating SLA templates files, a QoS conceptual model formed as a QoS ontology and selection algorithm. This approach, which is backward compatible, provides interoperability among customer-providers and a lightweight alternative. Finally, its applicability and benefits are shown by using examples of Infrastructure services.

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In this paper, the authors continue the study of Web service selection based on both the context and the QoS ontology and they use the same architecture proposed in the last paper that makes an automatic selection of best service provider that is based on mixed context and QoS ontology for a given set of parameters of QoS. The question is, how upon a request; the system chooses a service among several candidate services offering a capability satisfying its requests? The Quality of service presents the key factor to solve this problem. The idea is to extend on multi dimensional QoS and we emphasize on the effect of increasing the number of services (higher than seven) on the process of selection of web services. Finally, some experiments are run so to demonstrate consistency and effectiveness of the proposed method.

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Web Services Selection Based on Mixed Context and Quality of Service Ontology
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Duygu Çelik and Atilla Elçi (2008): Ontology-based QoS Model for Appropriate Selection and Composition of Web Services, International Review on Computers and Software, Praise Worthy Prize S.r.l. - March 2008, Vol. 3, No. 2, pp: 176-184. Refr. http://www.praiseworthyprize.com/IRECOS_latest.html, ISSN:1828-6003.
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Abstract – Services publishing and discovery are essential issues for utilization of web services, however; the topic of service selection is not possible for current specifications of web services. Whereas service discovery is through using Universal Description, Discovery and Integration (UDDI) and Web Services Description Language (WSDL), however those technologies do not provide grounds for finding appropriate web services at the required accuracy and quality of service (QoS) by the consumer. This article discusses a Semantic Search Agent (SSA) approach that discovers appropriate web services according to their semantic description matching consumer requirements. The descriptions comprise of QoS requirements and input/output information obtained from the discovered Web Services. A study is considered involving a brokercum- dispatcher model which consists of a QoS broker-based scheme by a multi-class queuing model. We propose a new system that is an extension to the SSA to find appropriate web services according to consumer request based on matching of input/output information and QoS information of web services; then compose them according to consumer requirements through semantic web and ontologies. Keywords: Dispatcher Model, Semantic Web Services, Semantic Search Agents and Queuing.

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A semantic approach for QoS specification of communication services using QoE parameters
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A QoS ontology language for Web-services
Ioanna Roussaki

20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006

Recently, Web Services (WSs) have evolved to a quite popular research field. Nevertheless, there are obstacles that prevent the introduction of WS provision in the wide market. Among these is the inability to represent the non-functional features of WSs, i.e. their Quality-of-Service. Integrating QoS features in WS profiles is to the advantage of both users and providers, as it enables QoS-aware WS selection and composition addressing the user's QoS requirements and objectives, while giving WS providers a significant competitive advantage in the e-business domain, also maximizing their resources' utilization. This paper focuses on the formulation of a QoS ontology framework that is used to support QoS-aware WS provision. It is based on work carried out in the IST-Amigo 1 Integrated Project for Ambient Intelligence (AmI) homes, which, exploiting heterogeneous technologies and infrastructures, aims to develop an open, standardized, interoperable middleware for the provision of QoS-aware AmI WSs to domestic users.

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Web Services Selection Based on Context Ontology and Quality of Services
rahmoun abdellatif

2010

Intensive efforts are made in the Web services selection literature by these days mainly because of the overwhelming interest of the community in the services provided over the Web. In selecting best services, the non functional properties of such services are proven to be more and more important; these describe the Quality of service that is the key factor in the selection process.In this paper, we discuss a Web service selection based on both the context and the QoS ontology. We propose an architecture that makes an automatic selection of best service provider that is based on mixed context and QoS ontology for a given set of parameters of QoS. The key idea is to rely on multi dimensional QoS. Finally, some experiments are run so to demonstrate consistency and effectiveness of the proposed method.

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References (34)

  1. Brunner, R., Freitag, F., Navarro, L.: Towards the development of a decentralized market information system: Requirements and architecture. In: IEEE International Symposium on Parallel and Distributed Processing IPDPS 2008, pp. 1-7 (2008)
  2. Shaw, M.J.: Building an E-Business from Enterprise Systems. Information Systems Fron- tiers 2(1), 7-17 (2000)
  3. Cusumano, M.A.: The changing software business: Moving from products to services. Computer 41(1), 20-27 (2008)
  4. Papazoglou, M.P., Heuvel, W.J.: Service oriented architectures: approaches, technologies and research issues. The VLDB Journal 16(3), 389-415 (2007)
  5. Kopecký, J., Vitvar, T., Bournez, C., Farrell, J.: SAWSDL: Semantic Annotations for WSDL and XML Schema. IEEE Internet Computing 11(6), 60-67 (2007)
  6. Farrell, J., Lausen, H.: Semantic Annotations for WSDL and XML Schema, W3C. Rec- ommendation (August 28, 2007), http://www.w3.org/TR/sawsdl/
  7. Gruber, T.R.: Towards Principles for the Design of Ontologies Used for Knowledge Shar- ing. In: Guarino, N., Poli, R. (eds.) Formal Ontology in Conceptual Analysis and Knowl- edge Representation, Deventer, The Netherlands. Kluwer Academic Publishers, Dordrecht (1993)
  8. Fensel, D., Lausen, H., Polleres, A., de Bruijn, J., Stollberg, M., Roman, D., Domingue, J.: Enabling Semantic Web Services: The Web Service Modeling Ontology. Springer, New York (2006)
  9. Krummenacher, R., Hepp, M., Polleres, A., Bussler, C., Fensel, D.: Www or what is wrong with Web Services. In: ECOWS 2005: Proceedings of the Third European Confer- ence on Web Services, Washington, DC, USA. IEEE Computer Society, Los Alamitos (2005)
  10. The OWL Services Coalition. OWL-S 1.1 beta release (July 2004), http://www.dalm.org/services/owl-s/
  11. OWL Working Group, Web Ontology Language (OWL) (2004), http://www.w3.org/2004/OWL/
  12. W3C Semantic Web Deployment Working Group, SKOS Simple Knowledge Organization System Reference, http://www.w3.org/TR/skos-reference
  13. ESSI WSML working group, Web Service Modeling Language, http://www.wsmo.org/wsml/
  14. RDF Core Working Group, Resource Description Framework (RDF): Concepts and Ab- stract Syntax, W3C recommendation, http://www.w3.org/TR/rdf-concepts
  15. Kritikos, K., Plexousakis, D.: A semantic qos-based Web Service discovery algorithm for over-constrained demands. In: NWESP 2007: Proceedings of the Third International Con- ference on Next Generation Web Services Practices, Washington, DC, USA, pp. 49-54. IEEE Computer Society, Los Alamitos (2007)
  16. ShaikhAli, A., Rana, O.F., Al-Ali, R., Walker, D.W.: UDDIe: An Extended Registry for Web Services. In: Proceedings of the 2003 Symposium on Applications and the internet Workshops (Saint 2003 Workshops), January 27 -31, 2003, p. 85. IEEE Computer Soci- ety, Washington (2003)
  17. Serhani, M.A., Dssouli, R., Hafid, A., Sahraoui, H.: A QoS Broker Based Architecture for Efficient Web Services Selection. In: Proceedings of the IEEE international Conference on Web Services, ICWS, July 11 -15, 2005, pp. 113-120. IEEE Computer Society, Washing- ton (2005)
  18. Grid Resource Allocation Agreement Protocol WG (GRAAP-WG), Web Services Agree- ment Specification (WS-Agreement), Version 2005/09 (September 2005), http://www.ggf.org/Public_Comment_Docs/Documents/Oct-2005/ WS-AgreementSpecificationDraft050920.pdf
  19. W3C, Web Service Policy, http://www.w3.org/TR/ws-policy/
  20. Web Service Level Agreement (WSLA) Language Specification, ver. 1.0 (January 2003), http://www.research.ibm.com/wsla/WSLASpecV1-20030128.pdf
  21. Kotsiopoulos, I., Soler Juber, S., Tenschert, A., Benedicto Cirujeda, J., Koller, B.: Using Semantic technologies to improve Negotiation of Service Level Agreements, eChallenges 2008 (2008)
  22. Oldham, N., Verma, K., Sheth, A., Hakimpour, F.: Semantic WS-agreement partner selec- tion. In: Proceedings of the 15th international Conference on World Wide Web, WWW 2006, Edinburgh, Scotland, May 23-26, 2006. ACM, New York (2006)
  23. Chaari, S., Badr, Y., Biennier, F.: Enhancing Web Service selection by QoS-based ontol- ogy and WS-policy. In: Proceedings of the 2008 ACM Symposium on Applied Comput- ing, SAC 2008, Fortaleza, Ceara, Brazil, March 16 -20, 2008, pp. 2426-2431. ACM, New York (2008)
  24. Tian, M., Gramm, A., Ritter, H., Schiller, J.: Efficient Selection and Monitoring of QoS- Aware Web Services with the WS-QoS Framework. In: Proceedings of the 2004 IEEE/WIC/ACM international Conference on Web intelligence, Web Intelligence, Sep- tember 20 -24, 2004, pp. 152-158. IEEE Computer Society, Washington (2004)
  25. Somasundaram, T.S., Balachandar, R.A., Kandasamy, V., Buyya, R., Raman, R., Mohan- ram, N., Varun, S.: Semantic Description and Discovery of Grid Services using WSDL-S and QoS based Matchmaking Algorithm. In: Advanced Computing and Communications, 2006. ADCOM 2006, December 20-23, pp. 113-116 (2006)
  26. Li, H., Du, X., Tian, X.: Towards Semantic Web Services Discovery with QoS Support Using Specific Ontologies. In: Proceedings of the Third international Conference on Se- mantics, Knowledge and Grid, SKG, October 29 -31, 2007, pp. 358-361. IEEE Computer Society, Washington (2007)
  27. Wang, X., Vitvar, T., Kerrigan, M., Toma, I.: A QoS-aware selection model for semantic Web Services. In: Dan, A., Lamersdorf, W. (eds.) ICSOC 2006. LNCS, vol. 4294, pp. 390-401. Springer, Heidelberg (2006)
  28. Lee, K., Jeon, J., Lee, W., Jeong, S., Park, S.: QoS for Web Services: Requirements and Possible Approaches, W3C Working Group Note 25 (2003), http://www.w3c.or.kr/kr-office/TR/2003/ws-qos/
  29. Ran, S.: A Model for Web Services Discovery With QoS. ACM SIGecom Exchanges 4(1) (March 2003)
  30. Tsesmetzis, D.T., Roussaki, I.G., Papaioannou, I.V., Anagnostou, M.E.: QoS awareness support in Web-Service semantics. In: Proceedings of the Advanced int'L Conference on Telecommunications and int'L Conference on internet and Web Applications and Services, AICT-ICIW, February 19 -25, 2006, p. 128. IEEE Computer Society, Washington (2006)
  31. Garcia, D.Z., de Toledo, M.B.: Semantics-enriched QoS policies for Web Service interac- tions. In: Proceedings of the 12th Brazilian Symposium on Multimedia and the Web, WebMedia 2006, Natal, Rio Grande do Norte, Brazil, November 19 -22, 2006, vol. 192, pp. 35-44. ACM, New York (2006)
  32. Ren, K., Chen, J., Chen, T., Song, J., Xiao, N.: Grid-Based Semantic Web Service Discov- ery Model with QoS Constraints. In: Third International Conference on Semantics, Knowledge and Grid, October 29-31, 2007, pp. 479-482 (2007)
  33. Maximilien, E.M., Singh, M.P.: A Framework and Ontology for Dynamic Web Services Selection. IEEE Internet Computing 8(5), 84-93 (2004)
  34. The BREIN Project, Web site (December 9, 2008), http://www.eu-brein.com/

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Related topics

  • Service Selection
  • Semantic Annotation
  • Service Level Agreement

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